8
votes
What is the difference between formant frequencies and pitch frequency?
Yes, F0 (the fundamental frequency) is the acoustic correlate of pitch (which is a perceptual concept). The fundamental frequency F0 is also the first harmonic H1 of the sound. If F0 is 100 Hz, the ...
- 323
5
votes
Accepted
Do language models ignore word order in the context?
While there are some context models that are unordered (Latent Semantic Analysis, some semantic word-vector approaches), that's not what you seem to be talking about. Instead, I think the critical ...
- 2,502
3
votes
What is the difference between formant frequencies and pitch frequency?
There is a limited sense in which F0 (which is the acoustic property perceived as pitch) and F1-F5 are not independent, which is that if you have a tiny larynx (high F0), given the nature of human ...
- 82.2k
2
votes
Should compounded words through agglutination be treated as unigrams or n-grams?
For parsing: if the word is already in your 'dictionary' then treat it as a 'unigram'; but if it is new to you then treat it as an 'ngram'. If you are doing semantic statistics on a corpus then you ...
- 656
2
votes
Should compounded words through agglutination be treated as unigrams or n-grams?
(Disclaimer: I don't have much background in linguistics)
I think - if you are relating to agglutinantive and not polysynthetic languges - it would depend on what you are trying to build and the ...
- 1,251
2
votes
Is there any research on the graph of word associations in a language?
There are language resources called wordnets that represent graphs of hypernymy and hyponymy and synsets. The prototypical example of such a resource is the Princeton WordNet for the English language ...
- 29.8k
2
votes
What are the various approaches to detect whether a sentence is complete or not?
For formal English anyway you can parse with spaCy and then iterate through the tagged tokens looking for a finite verb (VerbForm=Fin, as opposed to Ger or Inf).
See https://spacy.io/usage/linguistic-...
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2
votes
Population models in language formation
I've seen one agent-based model recently: van Trijp, R. (2013), Linguistic Assessment Criteria for Explaining Language Change: A Case Study on Syncretism in German Definite Articles. This paper tries ...
- 508
2
votes
How do ASR systems cope with noise?
In my experience, speech-recognition systems do quite a bit of preprocessing on the signal before trying to interpret it; part of that is getting rid of the noise.
The key is, most speech signals are ...
- 64.1k
1
vote
How do ASR systems cope with noise?
Robust speech recognition is a huge area with lots of research papers. You can start from a textbook by Microsoft:
Robust Automatic Speech Recognition
- 141
1
vote
Help with distributional analysis of verb phrases
As I understand the terms, the distribution of a VP would be the X and Y in a constituent [ X VP Y ]. However, affixes associated with auxiliary verbs might count as part of the X rather than part of ...
- 12.4k
1
vote
1
vote
Pre-trained English language models
Here is one from the LINDAT/CLARIN repository (for a specialised domain, but Open Data):
ATCC: Pronunciation lexicon and n-gram counts for ASR module
- 29.8k
1
vote
Co-occurrence count data sets
I think http://www.collocates.info/ will have the data you need. Note, the full processed list is not free but is not outrageously expensive.
- 10.6k
1
vote
Different discounting methods with SRILM toolikt
GT is SRILM's default. In fact, I think using -addsmooth 0 just gives you default GT smoothing (unfortunately?). To directly use GT discounting, simply include no discounting argument.
The number at ...
- 2,502
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